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Systematizing serendipity for big science infrastructures: The ATTRACT project

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  • Wareham, Jonathan
  • Pujol Priego, Laia
  • Romasanta, Angelo Kenneth
  • Mathiassen, Thomas Wareham
  • Nordberg, Markus
  • Tello, Pablo Garcia

Abstract

Big Science Research Infrastructures (BSRIs) are tremendous sources of ‘deep-tech’ with the potential to foment alternative commercial applications in diverse industries. Yet, cultivating novel applications of BSRI technologies is not straightforward due to misalignment between their scientific mission, large technological risks, market uncertainties, and long development times. Given these challenges, research is needed to understand if- and how-serendipitous innovations can be purposefully developed from BSRIs. In this study, we analyse ATTRACT, a novel initiative funded by the European Commission's Horizon 2020 program, which funded 170 projects with €100,000 each to develop a proof-of-concept commercial application of BSRI technologies within one year. Our analysis of this dataset identifies three modes employed by researchers to come up with alternate applications: (1) combining different technologies, (2) applying technology into a different field, and (3) using artificial intelligence or machine learning. In a second step, we conducted multinomial logistic regressions using the project data, expert evaluations, and a questionnaire to identify the antecedents associated with the pursuit of each of the three modes. Our findings suggest that scientists and engineers develop many new ideas about novel potential applications of BSRI technologies in their daily work. The main value of ATTRACT is in facilitating project development through financial resources, brokering relationships with industrial partners, and facilitating the applications of technologies in domains outside of the immediate purview of BSRIs.

Suggested Citation

  • Wareham, Jonathan & Pujol Priego, Laia & Romasanta, Angelo Kenneth & Mathiassen, Thomas Wareham & Nordberg, Markus & Tello, Pablo Garcia, 2022. "Systematizing serendipity for big science infrastructures: The ATTRACT project," Technovation, Elsevier, vol. 116(C).
    • Handle: RePEc:eee:techno:v:116:y:2022:i:c:s0166497221001553
    DOI: 10.1016/j.technovation.2021.102374
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    as
    1. Scaringella, Laurent & Chanaron, Jean-Jacques, 2016. "Grenoble–GIANT Territorial Innovation Models: Are investments in research infrastructures worthwhile?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 92-101.
    2. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    3. Salter, Ammon J. & Martin, Ben R., 2001. "The economic benefits of publicly funded basic research: a critical review," Research Policy, Elsevier, vol. 30(3), pages 509-532, March.
    4. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    5. Auerswald, Philip E & Branscomb, Lewis M, 2003. "Valleys of Death and Darwinian Seas: Financing the Invention to Innovation Transition in the United States," The Journal of Technology Transfer, Springer, vol. 28(3-4), pages 227-239, August.
    6. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    7. Stephann Makri & Ann Blandford & Mel Woods & Sarah Sharples & Deborah Maxwell, 2014. "“Making my own luck”: Serendipity strategies and how to support them in digital information environments," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2179-2194, November.
    8. Mariana Mazzucato, 2016. "From market fixing to market-creating: a new framework for innovation policy," Industry and Innovation, Taylor & Francis Journals, vol. 23(2), pages 140-156, February.
    9. T. M. A. Fink & M. Reeves & R. Palma & R. S. Farr, 2016. "Serendipity and strategy in rapid innovation," Papers 1608.01900, arXiv.org, revised Mar 2017.
    10. Andriani, Pierpaolo & Kaminska, Renata, 2021. "Exploring the dynamics of novelty production through exaptation: a historical analysis of coal tar-based innovations," Research Policy, Elsevier, vol. 50(2).
    11. Yoruk, Deniz E., 2019. "Dynamics of firm-level upgrading and the role of learning in networks in emerging markets," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 341-369.
    12. Ben R. Martin, 2016. "Twenty challenges for innovation studies," Science and Public Policy, Oxford University Press, vol. 43(3), pages 432-450.
    13. Tad Anderson & Elizabeth Michael & James Peirce, 2012. "Innovative Approaches for Managing Public-Private Academic Partnerships in Big Science and Engineering," Public Organization Review, Springer, vol. 12(1), pages 1-22, March.
    14. Cunha, Miguel Pina e & Clegg, Stewart R. & Mendonça, Sandro, 2010. "On serendipity and organizing," European Management Journal, Elsevier, vol. 28(5), pages 319-330, October.
    15. Yaqub, Ohid, 2018. "Serendipity: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 47(1), pages 169-179.
    16. Kosuke Kato & Shin Ito & Kazuhiko Itaya, 2019. "Can Accidental Discoveries be Managed? Exploring Key Factors Impacting Idea Generation in R&D Sites in Japan," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-16, October.
    17. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    18. Florio, Massimo & Sirtori, Emanuela, 2016. "Social benefits and costs of large scale research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 65-78.
    19. Napier, Nancy K. & Vuong, Quan-Hoang, 2013. "Serendipity as a Strategic Advantage?," OSF Preprints es3rv, Center for Open Science.
    20. Autio, Erkko & Hameri, Ari-Pekka & Vuola, Olli, 2004. "A framework of industrial knowledge spillovers in big-science centers," Research Policy, Elsevier, vol. 33(1), pages 107-126, January.
    21. Robert D. Austin & Lee Devin & Erin E. Sullivan, 2012. "Accidental Innovation: Supporting Valuable Unpredictability in the Creative Process," Organization Science, INFORMS, vol. 23(5), pages 1505-1522, October.
    22. Florio, Massimo & Forte, Stefano & Sirtori, Emanuela, 2016. "Forecasting the socio-economic impact of the Large Hadron Collider: A cost–benefit analysis to 2025 and beyond," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 38-53.
    23. Raghu Garud & Joel Gehman & Antonio Paco Giuliani, 2018. "Serendipity Arrangements for Exapting Science-Based Innovations," Post-Print hal-02570931, HAL.
    24. Kafouros, Mario I. & Buckley, Peter J. & Clegg, Jeremy, 2012. "The effects of global knowledge reservoirs on the productivity of multinational enterprises: The role of international depth and breadth," Research Policy, Elsevier, vol. 41(5), pages 848-861.
    25. T. M. A. Fink & M. Reeves & R. Palma & R. S. Farr, 2017. "Serendipity and strategy in rapid innovation," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    26. Hallonsten, Olof, 2020. "Research Infrastructures in Europe: The Hype and the Field," European Review, Cambridge University Press, vol. 28(4), pages 617-635, August.
    27. Dennis Patrick Leyden & Matthias Menter, 2018. "The legacy and promise of Vannevar Bush: rethinking the model of innovation and the role of public policy," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(3), pages 225-242, April.
    28. Sam Arts & Reinhilde Veugelers, 2015. "Technology familiarity, recombinant novelty, and breakthrough invention," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(6), pages 1215-1246.
    29. Schopper, Herwig, 2016. "Some remarks concerning the cost/benefit analysis applied to LHC at CERN," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 54-64.
    30. Dosi, Giovanni & Llerena, Patrick & Labini, Mauro Sylos, 2006. "The relationships between science, technologies and their industrial exploitation: An illustration through the myths and realities of the so-called `European Paradox'," Research Policy, Elsevier, vol. 35(10), pages 1450-1464, December.
    31. Stuart, Toby E. & Ozdemir, Salih Zeki & Ding, Waverly W., 2007. "Vertical alliance networks: The case of university-biotechnology-pharmaceutical alliance chains," Research Policy, Elsevier, vol. 36(4), pages 477-498, May.
    32. Lori McCay-Peet & Elaine G. Toms, 2015. "Investigating serendipity: How it unfolds and what may influence it," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1463-1476, July.
    33. Bozeman, Barry, 2000. "Technology transfer and public policy: a review of research and theory," Research Policy, Elsevier, vol. 29(4-5), pages 627-655, April.
    34. Stuart, Toby & Sorenson, Olav, 2003. "The geography of opportunity: spatial heterogeneity in founding rates and the performance of biotechnology firms," Research Policy, Elsevier, vol. 32(2), pages 229-253, February.
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